The web is splitting. Your brand needs to be readable by people and AI agents

The web is starting to split.

Not into public and private, or paid and free. Into content designed for people, and content designed for the AI agents increasingly acting on their behalf.

Why The Economist’s experiment matters

Digiday's report on The Economist experimenting with agent-readable content is more than a publisher curiosity. It is an early signal of a structural shift in discovery. If publishers are preparing versions of content that AI answer engines can parse, summarise and cite, B2B brands need to treat AI visibility as an operational discipline - not a one-off SEO tweak.

AI changes the sequence of discovery

For years, digital visibility has been built around human journeys: search, click, read, compare, convert. In an AI-first world the sequence can change. Buyers increasingly ask ChatGPT, Gemini, Claude or Perplexity to shortlist vendors, summarise market opinion or prepare questions for a buying meeting. The first filter is often a model interpreting public signals - your site, media coverage, analyst notes, podcasts, LinkedIn posts and more - rather than a human landing on a homepage.

That does not mean brands should write for robots and forget people. The most visible brands in AI environments will be the ones with the clearest human value proposition, the strongest proof points and the most consistent external authority. But it does mean communications must be structured differently.

What an agent-readable brand looks like

An agent-readable brand is not just a well-optimised website. It is a system of corroborated, machine-friendly signals across the places AI systems use to form answers. Practical elements include:

• Clear positioning language that explains category, problem and use case in plain terms.
• Structured content that answers specific buyer questions directly and consistently.
• Retrievable proof points - customer evidence, datasets, awards or analyst validation that can be indexed and verified.
• Consistent spokesperson expertise across earned media, owned content and social profiles.
• Independent coverage that confirms the brand’s claims beyond owned channels.
• Continuous monitoring of how AI engines describe your company, category and competitors.

Why PR is central to AI visibility

SEO teams can optimise pages and content teams can produce explainers. But PR shapes many of the external authority signals that AI systems rely on: media narratives, expert commentary, analyst framing and influencer discussions. That makes AI visibility an operational problem for communications - not a single content project.

It is not enough to publish one AI-friendly page and hope models find it. Brands need a repeatable system - a PROps approach - to understand where they show up, what models say about them, which competitors are being cited instead, and which signals to strengthen.

Five operational questions for comms leaders

1. What do AI answer engines say when buyers ask about our category? - Not just whether your brand appears, but how it is described, which competitors are listed and which sources shape the answer.
2. Are our strongest proof points easy to retrieve? - If evidence lives in PDFs, buried case studies or one-off posts, it may not be doing the work you assume.
3. Do our owned and earned narratives match? - If your website and media coverage tell different stories, models produce confused or outdated answers.
4. Which third-party signals are missing? - AI visibility depends on who else validates your story - journalists, analysts and credible industry voices.
5. Who owns the workflow? - AI visibility touches PR, SEO, content, product marketing and sales. Without an owner, the work falls between teams.

From activity to operations

The two-track internet does not remove the need for rich human experiences. People still need trust, judgement and emotional confidence before they buy. But it adds a new audience - machines acting for humans - that will increasingly shape shortlists and first impressions.

The brands that adapt fastest will not chase every new acronym. They will treat discoverability as a managed system, with clear data, structured workflows, consistent authority signals and measurable improvement over time. That is the shift from traditional PR activity to PR operations - and it is now a board-level communications issue.

Reference: (Digiday, "The Economist prepares for a two-track internet, one for humans and one for AI agents")